A diffusion optical model for skin scattering suppression in finger vein image restoration. - Wenhao You; Weikang Zhou; Jing Huang 018; Yaqin Liu; Feng Yang; Ziyu Chen (SPAC, 2017)

A bilayer image restoration for finger vein recognition. - Wenhao You; Weikang Zhou; Jing Huang 018; Feng Yang; Yaqin Liu; Ziyu Chen (Neurocomputing, 2019)

Highly Parallel SPARQL Engine for RDF. - Fan Feng; Weikang Zhou; Ding Zhang; Jinhui Pang (ICPCSEE (1), 2020)

Learning-based Question Translation Performance Prediction. - Shujun Wang; Jie Jiao; Weikang Zhou; Xiaowang Zhang; Zhiyong Feng 002 (ISWC (Demos/Industry), 2020)

LoopPara: an Architecture- Transparent Acceleration Framework for Loops by Exploiting Data-Level Parallelism. - Mingtao Chen; Xianfeng Li; Weikang Zhou; Yang Li; Fan Deng 002 (ICCCS, 2021)

SALAD: Static Analyzer for Loop Acceleration by Exploiting DLP. - Yang Li; Xianfeng Li; Mingtao Chen; Weikang Zhou; Fan Deng 002 (HP3C, 2021)

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. - Xiao Wang; Weikang Zhou; Qi Zhang 001; Jie Zhou; Songyang Gao; Junzhe Wang; Menghan Zhang; Xiang Gao 017; Yunwen Chen; Tao Gui (ACL (Findings), 2023)

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction. - Xiao Wang 035; Weikang Zhou; Can Zu; Han Xia; Tianze Chen; Yuansen Zhang; Rui Zheng; Junjie Ye; Qi Zhang 001; Tao Gui; Jihua Kang; Jingsheng Yang; et al. (CoRR, 2023)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. - Weikang Zhou; Xiao Wang 001; Limao Xiong; Han Xia; Yingshuang Gu; Mingxu Chai; Fukang Zhu; Caishuang Huang; Shihan Dou; Zhiheng Xi; Rui Zheng; Songyang Gao; et al. (CoRR, 2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (CoRR, 2024)

In Situ Pipe Prover Volume Measurement Method. - Jiacheng Hu; Weikang Zhou; Aijun Chen; Jiale Cai; Jing Yu; Zhengzhiyong Cui; Dongsheng Li (Sensors, 2024)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. - Qingyu Ren; Jie Zeng 003; Qianyu He; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (ACL (Findings), 2025)

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following. - Jie Zeng 003; Qianyu He; Qingyu Ren; Jiaqing Liang; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao (ACL (Findings), 2025)

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation. - Sirui Xia; Xintao Wang 001; Jiaqing Liang; Yifei Zhang; Weikang Zhou; Jiaji Deng; Fei Yu; Yanghua Xiao (NAACL (Findings), 2025)

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation. - Qianxi He; Qianyu He; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (CoRR, 2025)

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following. - Qingyu Ren; Qianyu He; Bowei Zhang; Jie Zeng 003; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (CoRR, 2025)

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models. - Jinyi Han; Xinyi Wang; Haiquan Zhao 002; Tingyun li; Zishang Jiang; Sihang Jiang; Jiaqing Liang; Xin Lin 001; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao (CoRR, 2025)